Triple

T5485611
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Kontagora E123573 entity
Predicate locatedIn P40 FINISHED
Object Kontagora
Kontagora is a town in Niger State, central Nigeria, known as an administrative and commercial center in the region.
 E522699 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kontagora | Statement: [Diocese of Kontagora, locatedIn, Kontagora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kontagora
Context triple: [Diocese of Kontagora, locatedIn, Kontagora]
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Kondura
    Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
  • E. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kontagora
Triple: [Diocese of Kontagora, locatedIn, Kontagora]
Generated description
Kontagora is a town in Niger State, central Nigeria, known as an administrative and commercial center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kontagora
Target entity description: Kontagora is a town in Niger State, central Nigeria, known as an administrative and commercial center in the region.
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Kondura
    Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
  • E. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92625a50819088133641ed6f25a9 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a773f48190b9928a96ae2c17f8 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf49ae98dc81909d410d886163a98d completed March 22, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a373d8881908bb704eafb50b5b9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:10 p.m.